Responsible Conduct of Research Short Courses
Join SfN's effort to support and promote rigorous science.
Register when you register for SfN's Annual Meeting!
Overview
SfN is committed to supporting and promoting rigorous science. This half-day short course on the topic of responsible conduct occurs on the Friday before SfN's annual meeting. Training includes lectures and guided discussions that enable you to explore varying topics through a neuroscience-specific lens. The course meets NIH requirements for instruction in the responsible conduct of research.
Responsible Use of AI in Neuroscience Research and Education
The Responsibility of Being Transparent: Science Communication, Sharing, and Publishing
Date & Time: Friday, October 4, 1–5:30 p.m. CDT
Location: MCP Room S103
Organizers: Lique Coolen, PhD; Sabine Spijker, PhD; Lisa Gabel, PhD; Jessica Mong, PhD; Joshua Gold, PhD; Richard Hunter, PhD; Eric Levine, PhD; Michael Fox PhD
Facilitators: Tori Espensen, PhD; Gundula Bosch, PhD; Michael Lehman, PhD; Christophe Bernard, PhD
Description: Open and transparent sharing of experimental methods, data, and scientific findings is integral to fostering a scientific environment where researchers work together and promote public confidence in scientific knowledge. This short course will cover main topics related to science communication, delivered by experts, and include small group discussions of real case scenarios. Subtopics include: considerations of authorship and journal selection, implications of generative artificial intelligence for science writing, the importance of open data sharing for rigor and reproducibility, responsible conduct of peer review, and presenting science to lay audiences.
Contact: training@sfn.org
Moderator
Facilitators
Previous Courses
Course book materials and recordings from previous courses are available for review
2019:
Cultivating Professionalism and Excellence in the Research Landscape
2018:
Power Dynamics in Academia
2017:
Neuroethics and Public Engagement: Why, How, and Best Practices
2016:
Record Keeping and Data Management for High-Quality Science
2015:
Optimizing Experimental Design for High-Quality Science